Bagas Arya Ariyanto’s Post

I’m happy to share that I’m starting a new position as a Data Analyst at PT Indonesia Indicator!

"QRIS Cross-Border: Menjembatani Batas untuk Membangun Ekonomi ASEAN yang Lebih Kuat. Mari kita bersama-sama merayakan inovasi pembayaran digital yang memungkinkan konektivitas lintas negara yang lebih mudah dan efisien. Indonesia berkomitmen untuk memimpin dalam memfasilitasi pertumbuhan ekonomi ASEAN. 💼💱🌐 Temukan lebih banyak tentang revolusi pembayaran digital dan peran penting QRIS Cross-Border dalam artikel yang telah saya tulis. Klik tautan di bawah ini untuk membaca lebih lanjut 📖. #QRISCrossBorder #PembayaranDigital #KerjasamaASEAN #PertumbuhanEkonomi

Hello everyone, This is my last post about my challenging journey as a Telkom Indonesia Digistar Class 2023 Data Science Mentee. After completing the Growth and Learning Class, we had the opportunity to apply what we had learned in the previous class at the Contribute Session. I was placed in Group 28, which was assigned to complete Challenge 3: How to increase access to quality education services for the most marginalized children and adolescents from 21% to 80% within three months. In this team, I was trusted to be the project leader. We proposed EduFriends as a solution to this problem. EduFriends is a web-based learning platform that aims to improve teacher quality and student learning experiences through a gamified campaign that promotes and develops positive actions during the teaching and learning process. We presented our innovation in front of the judges consisting of Telkom Indonesia Top Talent. After the presentation, we got positive comments from the judges and managed to become the Top 5 Best Team Pitching, a very extraordinary moment after the challenges and hard work we have done in developing this product. The Top 5 Best Team, got an amazing opportunity to present their innovation during Graduation Day in front of Mr. Muhamad Fajrin Rasyid, Director of Digital Business Telkom Indonesia. We were given tips and tricks on how to create an effective pitch deck and convey ideas efficiently by Telkom Indonesia's Top Talents Mr to prepare for the session. Thank you to the members of Group 28 for being exceptional and supportive team members. I managed to get the Leadership Award on Graduation Day. I ended my journey in the Top 50 in this program. I hope to continue to grow and develop through other amazing opportunities! #DigistarClass #DigistarClass2023 #LivinginTelkom #LevelUpAmoeba

Thanks for mentioning me Ninda. I'm thrilled to be working with such an exceptional and supportive team member as you. Good luck on your next journey. ✨

Hello everyone - I'm looking for a new job and would really appreciate your help. Thank you in advance for any connections, suggestions, or opportunities you can offer. #OpenToWork

The third segment class introduces students to Data Science and Machine Learning. The page begins with an overview of Machine Learning, which covers the fundamentals of the many types of Machine Learning and their applications. For dealing with missing data in categorical data, the emphasis turns to Feature Engineering and Imputation Methods. This class describes how to cope with missing data by creating a new category or utilizing the mode to fill in the blanks. The provided sample data demonstrates how raw data is turned into imputed data. The article also underlines that independent variables must be numerical or continuous in nature. This class also covers the Data Science pillars, which are domain knowledge, computer science, math, and statistics abilities, communication, and visualization. Python's usefulness as an easy-to-learn programming language is also emphasized. The material emphasizes the significance of conceptual knowledge over memorizing programming language syntax. Finally, the curriculum promotes learning by doing, which implies that practicing and implementing the principles gained in real-world circumstances is the greatest way to learn. In summary, this class introduces Data Science and Machine Learning by addressing the fundamentals of Machine Learning, Feature Engineering, the Imputation Method, the Data Science Pillars, Python as a programming language, and the significance of learning by doing. Telkom Indonesia Level Up by Amoeba Mentor: Syaiful Andy Project Support: Cindy Magnolia #DigistarClass #DigistarClassJourney #LifeatTelkom #LivinginTelkom #TelkomIndonesia

This class section discusses Data Visualization in-depth and its importance in the subject of Data Science. Data Science is an interdisciplinary field that involves the extraction of knowledge and insights from organized and unstructured data using scientific methods, procedures, algorithms, and systems. Data Science's major purpose is to turn raw data into meaningful and actionable insights that can be used to make informed decisions. This lesson covers common data visualization tools in Data Science, such as Power BI and Python. Power BI is a business analytics tool that offers interactive visualizations and business intelligence capabilities, as well as an interface that is easy enough for end users to construct their own reports and dashboards. Python, on the other hand, is a high-level programming language that, due to its simplicity, flexibility, and powerful libraries, is commonly employed in Data Science. Python has numerous advantages for simplifying and expediting the Data Science process. It offers a large library and framework collection that may be used for data processing, analysis, and visualization. NumPy, Pandas, Matplotlib, and Seaborn are some of the most prominent libraries used in Data Science. These libraries offer a wide range of functions and capabilities for performing complicated data analysis and visualization tasks. Furthermore, this lecture addresses typical Data Visualization approaches and how they can be utilized in real-world circumstances. Scatter plots, line charts, bar charts, histograms, and heat maps are examples of common approaches. These strategies are used to convey data in an understandable and interpretable visual way. Data visualization is an important tool in data science because it aids in the identification of patterns, trends, and outliers in data that may not be seen in raw data. Finally, this class session provides useful insights into Data Visualization and its significance in Data Science. It focuses on the most prominent data visualization tools and methodologies used in Data Science, as well as how they can be employed in real-world applications. Telkom Indonesia Level Up by Amoeba Mentor: Syaiful Andy Project Support: Cindy Magnolia #DigistarClass #DigistarClassJourney #LifeatTelkom #LivinginTelkom #TelkomIndonesia

This Section offers a thorough introduction to Data Science, giving readers a solid understanding of the subject. The section opens with a definition of Data Science, which is defined as the study of how to make data usable. It then goes on to define data-related roles such as Data Scientists, Data Analysts, and Data Engineers. The four pillars of Data Science are also thoroughly covered. Data gathering, data cleansing, data analysis, and data visualization are among these pillars. Each of these pillars is critical to the Data Science process, and this section includes examples of how they are applied in real-world circumstances. This part contains a practical challenge in addition to the theoretical aspects of Data Science. Readers are requested to write a function that verifies if a user's password is at least 8 characters long and has a mix of uppercase letters, lowercase letters, and numerals. This challenge allows readers to apply their Data Science knowledge in a hands-on manner. Overall, this part is a fantastic resource for anyone interested in learning more about Data Science. It covers a wide range of topics, from the fundamentals of the area to practical applications, and gives readers a solid platform for further research. Telkom Indonesia Level Up by Amoeba Mentor: Syaiful Andy Project Support: Cindy Magnolia #DigistarClass #DigistarClassJourney #LifeatTelkom #LivinginTelkom #TelkomIndonesia